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nPro Building Atlas™: Building Data for Heat Network Planning

The nPro Building Atlas provides Germany-wide building data for heat demand calculations, district analyses and heat network planning. Building data can be retrieved directly in nPro and used for further project work – with no separate GIS databases, external interfaces or time-consuming manual data preparation.

What is the nPro Building Atlas™?

The energy analysis of a district requires information about the existing buildings. This includes, for example, the building geometry, building height, building type, construction year and heated floor area.

Such information is often spread across different data sources, comes in different data formats, or first has to be linked together. The nPro Building Atlas brings suitable building data together, harmonizes it and makes it available in a uniform structure directly in nPro.

Three steps to your data basis

Data is retrieved directly in nPro – without detours via external GIS software, databases or format conversions.

  1. Select the area: The study area is delineated on the map. All buildings within it are captured.
  2. Retrieve the data: For each building, geometry, type, construction year, floor area and heat demand are taken from the Building Atlas and loaded into the project as a building list.
  3. Review and adjust: All values can be inspected in the project and corrected, supplemented or replaced with your own survey and consumption data on a building-by-building basis.

A district with several hundred buildings can be set up in a matter of minutes – a data basis that used to take days of GIS work.

Retrieving building data in the nPro software
Figure 1: Retrieving building data from the nPro Building Atlas™

Which building data is included?

The nPro Building Atlas provides a structured and harmonized list of attributes for each building. Building type and building specification are classified according to the nPro software’s own taxonomy, so the data can be processed further without additional mapping steps.

Table 1: Building data in the nPro Building Atlas™ and its use
AttributeUnit / formatUse in nPro
Building geometryPolygon, georeferenced (GIS-compatible)Display of the building, calculation of geometric parameters and spatial assignment
Footprint areaBasis for determining the floor area
Building heightmEstimation of building volume and thermal envelope area
Number of storeysCountDetermination or plausibility check of the building floor area
Floor areaKey input variable for the heat demand calculation
Building type1Classification (e.g. residential, school)Selection of suitable building parameters and assignment of demand profiles for residential and non-residential buildings
Building specification1ClassificationFurther differentiation within the building type, e.g. for typical usage profiles
Construction year or construction period classYear or classAssignment of typical building energy standards
Annual space heating demandkWh/aBasis for network sizing, plant dimensioning and economic analysis
Annual domestic hot water demandkWh/aBasis for network sizing, plant dimensioning and economic analysis
AddressTextIdentification and assignment of individual buildings

1Classification follows the building type and specification logic used in nPro.

Depending on the region, the available data basis and the individual building, not all attributes are available for every building. Missing information may have been derived – depending on the attribute concerned – from geometric relationships, statistical data or building typologies. The values provided can then be reviewed and adjusted individually within the project.

How reliable is the data?

Automatically provided building data is only an advantage if the heat demands calculated from it are reliable. We therefore compared the nPro Building Atlas with the official heat demand model of LANUV NRW across seven study areas – ranging from densely built-up city centres to scattered rural settlements. The mean absolute deviation of the total heat demand is 5.3 %, and in five of the seven areas it remains below 7 %. This is a solid basis for area-level balances, heat densities and the preliminary assessment of heat network areas; for individual buildings, reviewing the values remains advisable. All results, including the deviations, can be found on the page on the validation of the nPro Building Atlas.

Comparison of building data and heat demand for a suburban area in Düsseldorf
Figure 2: Example from the validation – comparison with official reference data for a suburban area in Düsseldorf

Where does the data come from?

The nPro Building Atlas combines various public, official data sources. Depending on the region and data availability, these include in particular:

  • official 3D building models and building coordinates of the German federal states,
  • data from the building and housing census of the 2022 Census,
  • building, address and geometry data from OpenStreetMap,
  • regional or state-specific heat cadastres,
  • other publicly available geodata and statistical data.

The data sources differ in terms of spatial resolution, survey date and the building attributes they contain, among other things. The data is therefore technically processed, standardized and – wherever possible – merged at building level before use.

Typical applications

The nPro Building Atlas is particularly useful in the early project phase, when a uniform data basis is needed quickly for larger areas.

  • Creating district and building models
  • Estimating the heat demand of buildings
  • Feasibility studies and transformation plans for heat networks
  • Investigating potential heat network areas
  • Comparing centralized and decentralized supply solutions

How do I get access to the Building Atlas?

The nPro Building Atlas is part of the nPro Plus license. It is therefore available to all Plus users at no additional cost: building data is retrieved directly in nPro and is immediately ready for further project work.

Usage is offered as a flat rate – building data can be retrieved for any number of areas, with no limit on the number of projects or buildings. This assumes normal project use as part of planning work; systematic bulk retrieval of data outside of specific projects is not permitted.

Sample datasets

You can download a sample dataset for each federal state:

Table 2: Sample building datasets by federal state

How is the building data determined?

For each attribute, the most suitable available data source is used. If a value is not directly available, it can be derived from other building properties.

Table 3: Data sources for building geometry, building type, building height and construction year
Federal stateBuilding geometryBuilding typeBuilding heightConstruction year
Baden-WürttembergOpenStreetMap3D building model Baden-Württemberg, OpenStreetMap, Wärmeatlas BW3D building model Baden-Württemberg, OpenStreetMapOpenStreetMap, Wärmeatlas BW, 2022 Census
BavariaOpenStreetMap3D building model Bavaria, OpenStreetMap3D building model Bavaria, OpenStreetMapOpenStreetMap, 2022 Census
BerlinOpenStreetMap3D building model Berlin, OpenStreetMap3D building model Berlin, OpenStreetMapOpenStreetMap, 2022 Census
BrandenburgOpenStreetMap3D building model Brandenburg, OpenStreetMap3D building model Brandenburg, OpenStreetMapOpenStreetMap, 2022 Census
BremenOpenStreetMap3D building model Bremen, OpenStreetMap3D building model Bremen, OpenStreetMapOpenStreetMap, 2022 Census
HamburgOpenStreetMap3D building model Hamburg, OpenStreetMap3D building model Hamburg, OpenStreetMapOpenStreetMap, 2022 Census
HesseOpenStreetMap3D building model Hesse, OpenStreetMap3D building model Hesse, OpenStreetMapOpenStreetMap, 2022 Census
Mecklenburg-Western PomeraniaOpenStreetMap3D building model Mecklenburg-Western Pomerania, OpenStreetMap3D building model Mecklenburg-Western Pomerania, OpenStreetMapOpenStreetMap, 2022 Census
Lower SaxonyOpenStreetMap3D building model Lower Saxony, OpenStreetMap3D building model Lower Saxony, OpenStreetMapOpenStreetMap, 2022 Census
North Rhine-WestphaliaOpenStreetMap3D building model North Rhine-Westphalia, OpenStreetMap, LANUV NRW3D building model North Rhine-Westphalia, OpenStreetMap, LANUV NRWOpenStreetMap, LANUV NRW, 2022 Census
Rhineland-PalatinateOpenStreetMap3D building model Rhineland-Palatinate, OpenStreetMap3D building model Rhineland-Palatinate, OpenStreetMapOpenStreetMap, 2022 Census
SaarlandOpenStreetMap3D building model Saarland, OpenStreetMap3D building model Saarland, OpenStreetMapOpenStreetMap, 2022 Census
SaxonyOpenStreetMap3D building model Saxony, OpenStreetMap3D building model Saxony, OpenStreetMapOpenStreetMap, 2022 Census
Saxony-AnhaltOpenStreetMap3D building model Saxony-Anhalt, OpenStreetMap3D building model Saxony-Anhalt, OpenStreetMapOpenStreetMap, 2022 Census
Schleswig-HolsteinOpenStreetMap3D building model Schleswig-Holstein, OpenStreetMap3D building model Schleswig-Holstein, OpenStreetMapOpenStreetMap, 2022 Census
ThuringiaOpenStreetMap3D building model Thuringia, OpenStreetMap3D building model Thuringia, OpenStreetMapOpenStreetMap, 2022 Census
Table 4: Data sources for footprint area, number of storeys, floor area, space heating and domestic hot water demand
Federal stateFootprint areaNumber of storeysFloor areaSpace heating demandDomestic hot water demand
Baden-WürttembergOpenStreetMap, Wärmeatlas BWOpenStreetMap or derived from building heightWärmeatlas BW or derived from footprint area and storeysWärmeatlas BW or derived from useful floor area, building type and year of constructionWärmeatlas BW or derived from useful floor area, building type and year of construction
BavariaOpenStreetMap3D building model Bavaria, OpenStreetMap or derived from building heightderived from footprint area and storeysderived from useful floor area, building type and year of constructionderived from useful floor area, building type and year of construction
BerlinOpenStreetMapOpenStreetMap or derived from building heightderived from footprint area and storeysderived from useful floor area, building type and year of constructionderived from useful floor area, building type and year of construction
BrandenburgOpenStreetMapOpenStreetMap or derived from building heightderived from footprint area and storeysderived from useful floor area, building type and year of constructionderived from useful floor area, building type and year of construction
BremenOpenStreetMapOpenStreetMap or derived from building heightderived from footprint area and storeysderived from useful floor area, building type and year of constructionderived from useful floor area, building type and year of construction
HamburgOpenStreetMap3D building model Hamburg, OpenStreetMap or derived from building heightderived from footprint area and storeysderived from useful floor area, building type and year of constructionderived from useful floor area, building type and year of construction
HesseOpenStreetMapOpenStreetMap or derived from building heightderived from footprint area and storeysderived from useful floor area, building type and year of constructionderived from useful floor area, building type and year of construction
Mecklenburg-Western PomeraniaOpenStreetMapOpenStreetMap or derived from building heightderived from footprint area and storeysderived from useful floor area, building type and year of constructionderived from useful floor area, building type and year of construction
Lower SaxonyOpenStreetMapOpenStreetMap or derived from building heightderived from footprint area and storeysderived from useful floor area, building type and year of constructionderived from useful floor area, building type and year of construction
North Rhine-WestphaliaOpenStreetMap3D building model North Rhine-Westphalia, OpenStreetMap, LANUV NRW or derived from building heightLANUV NRW or derived from footprint area and storeysLANUV NRW or derived from useful floor area, building type and year of constructionLANUV NRW or derived from useful floor area, building type and year of construction
Rhineland-PalatinateOpenStreetMap3D building model Rhineland-Palatinate, OpenStreetMap or derived from building heightderived from footprint area and storeysderived from useful floor area, building type and year of constructionderived from useful floor area, building type and year of construction
SaarlandOpenStreetMapOpenStreetMap or derived from building heightderived from footprint area and storeysderived from useful floor area, building type and year of constructionderived from useful floor area, building type and year of construction
SaxonyOpenStreetMap3D building model Saxony, OpenStreetMap or derived from building heightderived from footprint area and storeysderived from useful floor area, building type and year of constructionderived from useful floor area, building type and year of construction
Saxony-AnhaltOpenStreetMapOpenStreetMap or derived from building heightderived from footprint area and storeysderived from useful floor area, building type and year of constructionderived from useful floor area, building type and year of construction
Schleswig-HolsteinOpenStreetMap3D building model Schleswig-Holstein, OpenStreetMap or derived from building heightderived from footprint area and storeysderived from useful floor area, building type and year of constructionderived from useful floor area, building type and year of construction
ThuringiaOpenStreetMap3D building model Thuringia, OpenStreetMap or derived from building heightderived from footprint area and storeysderived from useful floor area, building type and year of constructionderived from useful floor area, building type and year of construction

Licenses and data versions

The building data is based on a combination of several official and open data sources (varying by federal state). These are merged and harmonized into a uniform data model to ensure a consistent and reliable data basis.

Table 5: Data sources for the nPro Building Atlas
SourceLicenseVersionAttribution
OpenStreetMapOpen Data Commons Open Database License 1.0 (ODbL 1.0)August 2026OpenStreetMap contributors
Census 2022 – grid dataData licence Germany – attribution – version 2.0 (DL-DE/BY-2.0)Reference date 15 May 2022, data version used: 4 November 2024Statistical Offices of the Federation and the Länder
NRW heat demand model (LANUV)Data licence Germany – Zero – version 2.0 (DL-DE-zero-2.0)17 December 2024Landesamt für Natur, Umwelt und Verbraucherschutz Nordrhein-Westfalen (LANUV), OpenGeoData.NRW
Wärmeatlas Baden-WürttembergData licence Germany – attribution – version 2.0 (DL-DE/BY-2.0)February 2025Data source: LGL, www.lgl-bw.de processed by geomer, www.geomer.de | ifeu, www.ifeu.de | GEF, www.gef.de | dl-de/by-2-0 www.govdata.de/dl-de/by-2-0 | https://opengeodata.lgl-bw.de/
3D building model Baden-Württemberg (CityGML)Data licence Germany – attribution – version 2.0 (DL-DE/BY-2.0)April 2026Data source: LGL, www.lgl-bw.de
3D building model Bavaria (CityGML)Creative Commons Attribution 4.0 International (CC-BY 4.0)August 2026Bayerische Vermessungsverwaltung – www.geodaten.bayern.de
3D building model Berlin (CityGML)Data licence Germany – Zero – version 2.0 (DL-DE-zero-2.0)March 2026Senatsverwaltung für Stadtentwicklung, Bauen und Wohnen, Berlin
3D building model Brandenburg (CityGML)Data licence Germany – attribution – version 2.0 (DL-DE/BY-2.0)July 2026GeoBasis-DE / LGB (Landesvermessung und Geobasisinformation Brandenburg)
3D building model Bremen (CityGML)Creative Commons Attribution 4.0 International (CC-BY 4.0)July 2025Landesamt GeoInformation Bremen
3D building model Hamburg (CityGML)Data licence Germany – attribution – version 2.0 (DL-DE/BY-2.0)March 2026Freie und Hansestadt Hamburg, Landesbetrieb Geoinformation und Vermessung (LGV)
3D building model Hesse (CityGML)[Hessisches Vermessungs- und Geoinformationsgesetz – HVGG §18] (https://www.rv.hessenrecht.hessen.de/perma?d=jlr-NNLHE00005568NN00000000056)June 2026Hessische Verwaltung für Bodenmanagement und Geoinformation
3D building model Mecklenburg-Western Pomerania (CityGML)Creative Commons Attribution 4.0 International (CC-BY 4.0)March 2026© GeoBasis-DE/M-V
3D building model Lower Saxony (CityGML)Creative Commons Attribution 4.0 International (CC-BY 4.0)April 2026Landesamt für Geoinformation und Landesvermessung Niedersachsen (LGLN) (2026)
3D building model North Rhine-Westphalia (CityGML)Data licence Germany – Zero (DL-DE/0-2.0)May 2026Geobasis NRW
3D building model Rhineland-Palatinate (CityGML)Data licence Germany – attribution (DL-DE/BY-2.0)April 2026©GeoBasis-DE / LVermGeoRP 2026, dl-de/by-2-0, www.lvermgeo.rlp.de [data processed]
3D building model Saarland (CityGML)Data licence Germany – attribution (DL-DE/BY-2.0)June 2026© GeoBasis DE/LVGL-SL (2026)
3D building model Saxony (CityGML)Data licence Germany – attribution (DL-DE/BY-2.0)July 2025GeoSN (Landesamt für Geobasisinformation Sachsen)
3D building model Saxony-Anhalt (CityGML)Data licence Germany – attribution (DL-DE/BY-2.0)April 2026© GeoBasis-DE / LVermGeo ST
3D building model Schleswig-Holstein (CityGML)Creative Commons Attribution 4.0 (CC BY 4.0)June 2024©GeoBasis-DE/LVermGeo SH/CC BY 4.0 (source modified)
3D building model Thuringia (CityGML)Data licence Germany – attribution (DL-DE/BY-2.0)July 2026© GDI-Th (Thüringer Landesamt für Bodenmanagement und Geoinformation)

Notes on data accuracy and suitability

The values provided – particularly the heat demands – are based on available official and open data sources as well as methodological processing and harmonization. Coverage, timeliness and level of detail may vary by region. The data is intended as a basis for planning and analysis and does not replace an on-site building-level survey. nPro gives no warranty as to the accuracy, completeness or suitability of the data for any particular purpose. Users should review the data critically and supplement it with their own surveys where necessary.